/the_winning_fighter

Predictions of the winner of the UFC fighter

Primary LanguageJupyter Notebook

the_winning_fighter

Predictions of the winner of the UFC fighter

Column definitions:

R_ and B_ prefix signifies red and blue corner fighter stats respectively
KD is number of knockdowns
SIG_STR is no. of significant strikes 'landed of attempted'
SIG_STR_pct is significant strikes percentage
TOTAL_STR is total strikes 'landed of attempted'
TD is no. of takedowns
TD_pct is takedown percentages
SUB_ATT is no. of submission attempts
PASS is no. times the guard was passed?
HEAD is no. of significant strinks to the head 'landed of attempted'
BODY is no. of significant strikes to the body 'landed of attempted'
CLINCH is no. of significant strikes in the clinch 'landed of attempted'
GROUND is no. of significant strikes on the ground 'landed of attempted'
win_by is method of win
last_round is last round of the fight (ex. if it was a KO in 1st, then this will be 1)
last_round_time is when the fight ended in the last round
Format is the format of the fight (3 rounds, 5 rounds etc.)
Referee is the name of the Ref
date is the date of the fight
location is the location in which the event took place
Fight_type is which weight class and whether it's a title bout or not
Winner is the winner of the fight

Docker command:

docker ps
docker-compose build
docker-compose up
docker exec -it <mycontainer> bash
docker exec -it the_winning_fighter_flask_1 bash

docker exec -it the_winning_fighter_flask_1 python train_model.py